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Items: 1 to 20 of 32

1.

Data-driven multivariate population subgrouping via lipoprotein phenotypes versus apolipoprotein B in the risk assessment of coronary heart disease.

Ohukainen P, Kuusisto S, Kettunen J, Perola M, Järvelin MR, Mäkinen VP, Ala-Korpela M.

Atherosclerosis. 2019 Dec 13;294:10-15. doi: 10.1016/j.atherosclerosis.2019.12.009. [Epub ahead of print]

2.

Mass-spec-based urinary metabotyping around parturition identifies screening biomarkers for subclinical mastitis in dairy cows.

Zwierzchowski G, Zhang G, Mandal R, Wishart DS, Ametaj BN.

Res Vet Sci. 2020 Jan 3;129:39-52. doi: 10.1016/j.rvsc.2020.01.001. [Epub ahead of print]

PMID:
31931262
3.

Metabolomics of wheat grains generationally-exposed to cerium oxide nanoparticles.

Rico CM, Wagner D, Abolade O, Lottes B, Coates K.

Sci Total Environ. 2020 Jan 7;712:136487. doi: 10.1016/j.scitotenv.2019.136487. [Epub ahead of print]

PMID:
31931226
4.

APOE alters glucose flux through central carbon pathways in astrocytes.

Williams HC, Farmer BC, Piron MA, Walsh AE, Bruntz RC, Gentry MS, Sun RC, Johnson LA.

Neurobiol Dis. 2020 Jan 11;136:104742. doi: 10.1016/j.nbd.2020.104742. [Epub ahead of print]

5.

Targeted cerebrospinal fluid analysis for inborn errors of metabolism on an LC-MS/MS analysis platform.

Klinke G, Richter S, Monostori P, Schmidt-Mader B, García-Cazorla A, Artuch R, Christ S, Opladen T, Hoffmann GF, Blau N, Okun JG.

J Inherit Metab Dis. 2020 Jan 13. doi: 10.1002/jimd.12213. [Epub ahead of print]

PMID:
31930732
6.

Metabolite-based genome-wide association study enables dissection of the flavonoid decoration pathway of wheat kernels.

Chen J, Hu X, Shi T, Yin H, Sun D, Yuanfeng H, Xia X, Luo J, Fernie AR, He Z, Chen W.

Plant Biotechnol J. 2020 Jan 12. doi: 10.1111/pbi.13335. [Epub ahead of print]

7.

Attenuating apoptosis in Chinese hamster ovary cells for improved biopharmaceutical production.

Henry MN, MacDonald MA, Orellana CA, Gray PP, Gillard M, Baker K, Nielsen LK, Marcellin E, Mahler S, Martínez VS.

Biotechnol Bioeng. 2020 Jan 12. doi: 10.1002/bit.27269. [Epub ahead of print] Review.

PMID:
31930480
8.

CROP: Correlation-based reduction of feature multiplicities in untargeted metabolomic data.

Kouřil Š, de Sousa J, Václavík J, Friedecký D, Adam T.

Bioinformatics. 2020 Jan 13. pii: btaa012. doi: 10.1093/bioinformatics/btaa012. [Epub ahead of print]

PMID:
31930393
9.

AlpsNMR: an R package for signal processing of fully untargeted NMR-based metabolomics.

Madrid-Gambin F, Oller-Moreno S, Fernandez L, Bartova S, Giner MP, Joyce C, Ferraro F, Montoliu I, Moco S, Marco S.

Bioinformatics. 2020 Jan 13. pii: btaa022. doi: 10.1093/bioinformatics/btaa022. [Epub ahead of print]

PMID:
31930381
10.

High performance chromatography-mass spectrometry (HPLC-MS) Based Lipid Metabolite Profiling of Acromegaly.

Wang M, Guo S, He M, Shao X, Feng L, Yu Y, Gong W, Liu Q, Melnikov V, Wang X, He Z, Jiang L, Chen M, Sun J, Cai J, Zhao Y, Li Y, Tritos NA, Hu Z, Zhang Z.

J Clin Endocrinol Metab. 2020 Jan 13. pii: dgaa014. doi: 10.1210/clinem/dgaa014. [Epub ahead of print]

PMID:
31930294
11.

Metabolic biomarker signature for predicting the effect of neoadjuvant chemotherapy of breast cancer.

Lin X, Xu R, Mao S, Zhang Y, Dai Y, Guo Q, Song X, Zhang Q, Li L, Chen Q.

Ann Transl Med. 2019 Nov;7(22):670. doi: 10.21037/atm.2019.10.34.

12.

Elucidating the interaction of kansui and licorice by comparative plasma/tissue metabolomics and a heatmap with relative fold change.

Chen YY, Shen J, Tang YP, Yu JG, Wang J, Yue SJ, Yang J, Chen JQ, Feng LM, Zhu ZH, Tao WW, Zhang L, Duan JA.

J Pharm Anal. 2019 Oct;9(5):312-323. doi: 10.1016/j.jpha.2019.05.005. Epub 2019 Jun 1.

13.

Metabolomic profiling of dried blood spots reveals gender-specific discriminant models for the diagnosis of small cell lung cancer.

Yu L, Li K, Li X, Guan C, Sun T, Zhang X.

Aging (Albany NY). 2020 Jan 12;12(1):978-995. doi: 10.18632/aging.102670. Epub 2020 Jan 12.

14.

Analysing central metabolism in ultra-high resolution: At the crossroads of carbon and nitrogen.

Bayram S, Fürst S, Forbes M, Kempa S.

Mol Metab. 2019 Dec 19. pii: S2212-8778(19)30953-6. doi: 10.1016/j.molmet.2019.12.002. [Epub ahead of print] Review.

15.

Metabolic footprinting revealed key biochemical changes in a brown fermented milk product using Streptococcus thermophilus.

Li D, Zheng Y, Kwok LY, Zhang W, Sun T.

J Dairy Sci. 2020 Jan 9. pii: S0022-0302(20)30002-3. doi: 10.3168/jds.2019-16881. [Epub ahead of print]

PMID:
31928753
16.

Protein synthesis increases with photosynthesis via the stimulation of translation initiation.

Tcherkez G, Carroll A, Abadie C, Mainguet S, Davanture M, Zivy M.

Plant Sci. 2020 Feb;291:110352. doi: 10.1016/j.plantsci.2019.110352. Epub 2019 Nov 29.

PMID:
31928674
17.

Analysis of Tryptophan Metabolites in Serum Using Wide-Isolation Strategies for UHPLC-HRMS/MS.

Rubio VY, Cagmat JG, Wang GP, Yost RA, Garrett TJ.

Anal Chem. 2020 Jan 23. doi: 10.1021/acs.analchem.9b04210. [Epub ahead of print]

PMID:
31927994
18.

Human Breast Milk: Bioactive Components, from Stem Cells to Health Outcomes.

Bardanzellu F, Peroni DG, Fanos V.

Curr Nutr Rep. 2020 Jan 11. doi: 10.1007/s13668-020-00303-7. [Epub ahead of print] Review.

PMID:
31927722
19.

Untargeted plasma metabolomic profiles associated with overall diet in women from the SU.VI.MAX cohort.

Lécuyer L, Dalle C, Micheau P, Pétéra M, Centeno D, Lyan B, Lagree M, Galan P, Hercberg S, Rossary A, Demidem A, Vasson MP, Partula V, Deschasaux M, Srour B, Latino-Martel P, Druesne-Pecollo N, Kesse-Guyot E, Durand S, Pujos-Guillot E, Manach C, Touvier M.

Eur J Nutr. 2020 Jan 11. doi: 10.1007/s00394-020-02177-5. [Epub ahead of print]

PMID:
31927670
20.

A metabolomics study: CdTe/ZnS quantum dots induce polarization in mice microglia.

He K, Liang X, Wei T, Liu N, Wang Y, Zou L, Bai C, Yao Y, Wu T, Kong L, Zhang T, Xue Y, Tang M.

Chemosphere. 2019 Dec 14;246:125629. doi: 10.1016/j.chemosphere.2019.125629. [Epub ahead of print]

PMID:
31927360

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